Pre-sales Solutions Architect, Databricks

Nasstar

Key player in the Presales and solutioning team for Databricks opportunities. Partner with Sales and Delivery to win data engineering, ML, and GenAI deals.

Posted 5/19/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformSparkSQLUnity

About the role

Key responsibilities & impact

Databricks solution advocacy: articulate the value of the Databricks Data Intelligence Platform — Lakehouse architecture, Delta Lake, Unity Catalog, Photon, Databricks SQL, Workflows, MLflow, Mosaic AI, and Databricks Apps — tailoring presentations and demos to each prospect's business and technical context.
Technical consultation: act as the trusted Databricks expert during sales engagements, handling deep technical questions, addressing objections, and positioning Databricks against alternatives (Snowflake, Microsoft Fabric, native cloud data warehouses, open-source Spark / Iceberg stacks).
Discovery and requirements gathering: lead structured discovery with data, analytics, and platform teams to capture current-state architecture, workloads, governance constraints, and target outcomes; translate findings into prioritised solution options.
High Level Solution design: design Databricks-based reference architectures across AWS, Azure, and GCP, covering ingestion, Lakehouse modelling (Bronze / Silver / Gold), Unity Catalog governance, MLOps with MLflow, GenAI patterns (RAG, fine-tuning, agentic), and cost / performance optimisation.
Demos and POCs: build and run compelling demos and time-boxed POCs on Databricks that prove value against agreed success criteria.
RFPs and proposals: own the technical content of RFP / RFI responses, technical proposals, architecture diagrams, and Statements of Work in collaboration with the Commercial and Delivery teams; ensure SOWs are accurate, deliverable, and commercially sound.
Cross-functional collaboration: act as the connective tissue between Sales, Practice Leads (Data Engineering, ML, GenAI, Platform), and Delivery, ensuring proposed solutions are deliverable, commercially sensible, and aligned to capacity and timelines.
Partner alignment: work hand-in-glove with Databricks field teams — account executives, specialist SAs, partner managers — on joint pursuits, co-selling motions, and partner programmes.
Delivery embedment: Periodically, you will be embedded with the delivery team in a billable role on client engagements — typically as a Databricks Solutions Architect during design or mobilisation phases — keeping you close to the platform and ensuring pre-sales commitments land cleanly in delivery.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
Proven experience in technical pre-sales, solutions architecture, or hands-on consulting on the Databricks platform (or a comparable Lakehouse / big data stack).
Strong working knowledge of the Databricks Data Intelligence Platform: Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, Workflows, MLflow, Mosaic AI / model serving, and at least one cloud deployment (AWS, Azure, or GCP).
Confident designing and presenting Lakehouse and data platform architectures, including ingestion patterns, medallion modelling, governance, MLOps, and GenAI workloads (RAG, fine-tuning, agentic patterns).
Demonstrable track record running discovery, demos, POCs, and RFP responses for complex data / AI deals, and communicating with audiences ranging from engineers to C-level executives.
Strong commercial awareness — comfortable shaping SOWs, T-shirt-size estimates, and linking technical choices to business value, TCO, and time-to-value.
Exceptional communication, presentation, and negotiation skills.
Databricks certifications (e.g. Data Engineer Associate / Professional, Machine Learning Associate / Professional, Databricks Certified Solutions Architect) and complementary AWS / Azure / GCP certifications are highly desirable.
Willingness to travel within the UK (and occasionally further) as required to meet business needs.

Benefits

Comp & perks

- Remote Working: Flexible options to support your best work.
- Be at the forefront of technological innovation, working with a talented team passionate about making a difference.
- Opportunity to Work on Cutting-Edge Projects: Engage with innovative technologies and make a significant impact in the field.
- A Collaborative, Inclusive, and Dynamic Work Environment: Be part of a culture that values diversity, collaboration, and continuous improvement.
- Top tech including a New MacBook Pro.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

DatabricksLakehouse architectureDelta LakeApache SparkUnity CatalogDatabricks SQLMLflowMosaic AIMLOpsGenAI

Soft Skills

communicationpresentationnegotiationcommercial awarenesscollaborationconsultingdiscoveryproblem-solvingleadershiptechnical consultation

Certifications

Data Engineer AssociateData Engineer ProfessionalMachine Learning AssociateMachine Learning ProfessionalDatabricks Certified Solutions ArchitectAWS certificationsAzure certificationsGCP certifications